--%>

Write out the null hypothesis

1. (AAC/ACA c9q1).  For each of the following studies, decide whether you can reject the null hypothesis that the groups come from identical populations. Use the alpha = .05 level.1a.

 

Group 1

Group 2

Group 3

n

10

10

10

M

7.4

6.8

6.8

S2 (estimated variance)

.82

.90

.80

1b.

 

Group 1

Group 2

Group 3

Group 4

n

25

25

25

25

M

94

101

124

105

S (estimated standard deviation)

24

28

31

25

 

2.(AAC/ACA c9 q3). A psychologist at a private psychiatric hospital was asked to determine whether there was a difference in the length of stay of patients with different categories of diagnosis. Looking at the last four patients in each of the three major categories, the results (in weeks of stay) were as follows:

Diagnosis Category

Affective Disorders

Cognitive Disorders

Drug-Related Conditions

7

12

8

6

8

10

5

9

12

6

11

10

a.       Write out the null hypothesis for this example.

b.       Using alpha = .05, decide whether there is a difference in the length of stay among the different diagnosis categories. Give appropriate statistical evidence for your conclusion.

c.       Determine the effect size

3. (AAC/ACA c9q23). An experiment is conducted in which 60 participants each fill out a personality test, but not according to the way they see themselves. Instead, 20 are randomly assigned to fill it out according to the way they think a parent sees them (i.e. how a parent would fill it out to describe the participant); 20 as their best friend would fill it out for them; and 20 as the professors they know best would fill it out for them. The main results appear in the table below. Explain these results to a person who has not taken a course in statistics.

Table 4.1 Means for Main Personality Scales for Each Experimental Condition.

Scale

Parent

Friend

Professor

F(2,57)

Conformity

22

12

16

5.08**

Extroversion

14

15

13

2.89

Maturity

15

22

19

4.12*

Self-confidence

40

27

32

3.58*

*p< .05, **p< .01

4. (AAC/ACA c9q24). Friend (2001), compared three methods of teaching writing. Students were randomly assigned to three different experimental conditions involving different methods of writing a summary. At the end of two days of instruction, participants wrote a summary. One of the ways it was scored was the percentage of specific details of information that it included from the original material Here is a selection from her article describing one of the findings:

a.       Explain these results to a person who has never had a course in statistics.

b.       Explain, to the same person, why this data was analyzed using an ANOVA, instead of 3 independent t tests.

c.       Based on the information given, determine the effect size.

   Related Questions in Basic Statistics

  • Q : Get Solved LP Problems Solve Linear

    Solve Linear Programming Questions A producer manufactures 3 models (I, II and III) of a particular product. He uses 2 raw materials A and B of which 4000 and 6000 units respectively are obtainable. The raw materials per unit of 3

  • Q : Explain Queuing theory Queuing theory :

    Queuing theory: • Queuing theory deals with the analysis of lines where customers wait to receive a service:

    Q : Hypothesis homework A sample of 9 days

    A sample of 9 days over the past six months showed that a clinic treated the following numbers of patients: 24, 26, 21, 17, 16, 23, 27, 18, and 25. If the number of patients seen per day is normally distributed, would an analysis of these sample data provide evidence that the variance in the numbe

  • Q : Quantities in a queuing system

    Quantities in a queuing system: A: Count of

  • Q : Explain Service times Service times: A)

    Service times:A) In most cases, servicing a request takes a “short” time, but in a few occasions requests take much longer.B) The probability of completing a service request by time t, is independent of how much tim

  • Q : Creating Grouped Frequency Distribution

    Creating Grouped Frequency Distribution: A) At first we have to determine the biggest and smallest values. B) Then we have to Calculate the Range = Maximum - Minimum C) Choose the number of classes wished for. This is generally between 5 to 20. D) Find out the class width by dividing the range b

  • Q : Principles of data analysis For the

    For the data analysis project, you will address some questions that interest you with the statistical methodology we are learning in class. You choose the questions; you decide how to collect data; you do the analyses. The questions can address almost any topic,

  • Q : Data Description 1. If the mean number

    1. If the mean number of hours of television watched by teenagers per week is 12 with a standard deviation of 2 hours, what proportion of teenagers watch 16 to 18 hours of TV a week? (Assume a normal distribution.) A. 2.1% B. 4.5% C. 0.3% D. 4.2% 2. The probability of an offender having a s

  • Q : What is Interactive Response Time Law

    Interactive Response Time Law: • R = (L/X) - Z• Applies to closed systems.• Z is the think time. The time elapsed since&nb

  • Q : Statics for each of the following

    for each of the following studies a and b decide whether to reject the null hypothesis that groiups come from identical populations. Use the .01 level. (c) Figure the effects size for each study. (d) ADVANCED TOPIC: Carry out an analysis of variance for study (a) using the strucurtal method.